Changing pattern of organ dysfunction in early human sepsis is related to mortality
Bibliographic record
Abstract
OBJECTIVE: We examined the pattern of organ system dysfunction, the evolution of this pattern over time, and the relationship of these features to mortality in patients who had sepsis syndrome. DESIGN: Prospective, multicenter, observational study. SETTING: Intensive care units in tertiary referral teaching hospitals. PATIENTS: A total of 287 patients who had sepsis syndrome were prospectively identified in intensive care units. MATERIALS AND MEASUREMENTS: Cardiovascular, pulmonary, neurologic, coagulation, renal, and hepatic dysfunction were assessed at onset and on day 3 of sepsis syndrome. Organ dysfunction was classified as normal, mild, moderate, severe, and extreme dysfunction. We calculated the occurrence rate and associated 30-day mortality rate of organ dysfunction at the onset of sepsis syndrome. We then measured the change in organ dysfunction from onset to day 3 of sepsis syndrome and determined, for individual organ systems, the associated 30-day mortality rate. RESULTS: At the onset of sepsis syndrome, clinically significant pulmonary dysfunction was the most common organ failure, but was not related to 30-day mortality. Clinically significant cardiovascular, neurologic, coagulation, renal, and hepatic dysfunction were less common at the onset of sepsis syndrome but were significantly associated with the 30-day mortality rate. Worsening neurologic, coagulation, and renal dysfunction from onset to day 3 of sepsis syndrome were associated with significantly higher 30-day mortality than with improvement or no change in organ dysfunction. CONCLUSIONS: Increased mortality rate in sepsis syndrome is associated with a pattern characterized by failure of nonpulmonary organ systems and, in particular, worsening neurologic, coagulation, and renal dysfunction over the first 3 days. Although initial pulmonary dysfunction is common in patients with sepsis syndrome, it is not associated with an increased mortality rate.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".